# xarray.DataArray.isnull

#### DataArray.isnull(keep_attrs=None)[[source]](https://github.com/pydata/xarray/blob/main/xarray/core/common.py#L1282-L1323)

Test each value in the array for whether it is a missing value.

* **Parameters:**
  **keep_attrs** ([`bool`](https://docs.python.org/3/builtins/functions.html#bool) or [`None`](https://docs.python.org/3/builtins/constants.html#None), *optional*) – If True, the attributes (attrs) will be copied from
  the original object to the new one. If False, the new
  object will be returned without attributes.
* **Returns:**
  **isnull** ([`DataArray`](xarray.DataArray.html.md#xarray.DataArray) or [`Dataset`](xarray.Dataset.html.md#xarray.Dataset)) – Same type and shape as object, but the dtype of the data is bool.

#### SEE ALSO
[`pandas.isnull`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.isnull.html#pandas.isnull)

### Examples

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```pycon
>>> array = xr.DataArray([1, np.nan, 3], dims="x")
>>> array
<xarray.DataArray (x: 3)> Size: 24B
array([ 1., nan,  3.])
Dimensions without coordinates: x
>>> array.isnull()
<xarray.DataArray (x: 3)> Size: 3B
array([False,  True, False])
Dimensions without coordinates: x
```

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